Unlock instant, AI-driven research and patent intelligence for your innovation.

Atmospheric aerosol optical depth estimation method based on PM2.5

An atmospheric aerosol and optical thickness technology, which is used in computing, complex mathematical operations, special data processing applications, etc., can solve the problems of difficult real-time acquisition and low inversion accuracy, and achieves the effect of ensuring real-time performance and improving estimation accuracy.

Inactive Publication Date: 2016-07-20
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF1 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Inspired by this conclusion, in view of the fact that the inversion accuracy of atmospheric aerosol optical depth (AOD) is not high and it is difficult to obtain in real time, and the ground air quality monitoring stations can release data such as PM2.5 concentration in real time, and the number of stations will continue to increase, the present invention A method for estimating atmospheric aerosol optical thickness based on PM2.5 concentration monitoring data is proposed to better predict the power of photovoltaic power generation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Atmospheric aerosol optical depth estimation method based on PM2.5
  • Atmospheric aerosol optical depth estimation method based on PM2.5
  • Atmospheric aerosol optical depth estimation method based on PM2.5

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0026] figure 1 It is a schematic diagram of AOD estimation using firefly support vector machine regression prediction model. The present invention relates to the described atmospheric aerosol optical depth AOD estimation method based on PM2.5 concentration monitoring data, comprises the following steps:

[0027] Step 1: Build a firefly support vector machine regression prediction model:

[0028] ①Record the PM2.5 concentration C at a certain moment k o , visibility v, humidity h and AOD, get a sample (C o (k), v(k), h(k), AOD(k)); By collecting multiple samples under different AOD, a sample set is formed {(C o (k), v(k), h(k), AOD(k))}; In the embodiment, a total of 500 samples were collected;

[0029] ② Use the...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an atmospheric aerosol optical depth estimation method based on PM2.5. According to the method, on the basis of acquiring a large number of actual samples of PM2.5 concentration-humidity-visibility-atmospheric aerosol optical depth (AOD), a firefly support vector machine regression prediction model for the atmospheric aerosol optical depth (AOD) is established, the model is utilized for atmospheric aerosol optical depth (AOD) estimation, and therefore the problems that atmospheric aerosol optical depth (AOD) inversion precision is not high, and real-time acquisition is difficult are solved.

Description

technical field [0001] The invention relates to a PM2.5-based atmospheric aerosol optical thickness estimation method, which belongs to the technical field of photovoltaic power prediction. Background technique [0002] The prediction of photovoltaic power generation is of great significance to ensure the stable operation of the power system. The indirect prediction method based on solar radiation forecast is one of the common research methods. Atmospheric aerosol optical depth (AOD) is an important parameter for calculation of solar radiation transfer, which can be obtained through satellite observations and ground-based observations. The satellite observation method refers to the inversion of AOD based on the monitoring data of the Moderate Resolution Imaging Spectrometer (MODIS) carried by remote sensing satellites. Ground-based observation refers to the inversion of AOD by using the solar radiation intensity measured by the photometer, which has high accuracy, but the c...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/50G06F17/10
CPCG06F17/10G06F30/367
Inventor 刘卫亮林永君刘长良何宗源陈文颖马良玉
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)